Agent skill · Workflow & Productivity

deep-research

Deep, iterative, multi-source research that explores a topic from multiple perspectives, detects contradictions, and produces a comprehensive vault note with fact-level citations and a confidence map. Use this skill whenever the user says /deep-research, "deep research X", "research X thoroughly", "investigate X deeply", "I need to really understand X", or wants research that goes beyond a quick web search. Also use when the user wants to understand a complex, contested, or multi-faceted topic, compare competing approaches with evidence, or build a comprehensive mental model they can trust for

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill deep-research-tuan3w-obsidian-vault-agent --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Allowed tools: BashReadWriteEditAgentGrepGlobWebFetchWebSearchmcp__reddit-mcp-buddy__search_redditmcp__reddit-mcp-buddy__get_post_detailsmcp__obsidian-vault__search_notes
Path: skills/analysis/deep-research-tuan3w-obsidian-vault-agent/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

<Purpose> Iterative, multi-perspective research that explores broadly and goes deep. Unlike `/research` (single-pass, web-only, 5-10 sources), this skill: - Discovers PERSPECTIVES before searching (not just sub-questions) - Searches 4 source types in parallel: web, academic papers, Reddit, vault - Runs an exploration → critique loop that finds gaps, contradictions, and new angles - Uses an outline-first approach to prevent hallucination - Produces a note with fact-level citations, a confidence map, and explicit uncertainty The architecture is inspired by Stanford's STORM (perspective discovery + outline-first), Anthropic's multi-agent research system (parallel exploration + intelligent critique), and pi-autoresearch (living state files that survive context resets). </Purpose> <Use_When> - User wants DEEP understanding, not a quick summary - Topic is complex, contested, or multi-faceted - User needs to make a decision based on the research - User wants to compare competing approaches with evidence - User explicitly asks for /deep-research or "thorough research" </Use_When> <Do_Not_Use_When> - User wants a quick answer (use /research instead) - User wants to find academic papers spec

What's inside
Steps it walks through
  1. Stage 0: SETUP
  2. Stage 1: PLAN — Decompose + Discover Perspectives
  3. Stage 2: EXPLORE — Parallel Deep Dives
  4. Stage 3: CRITIQUE — The Intelligence Layer
  5. Stage 4: DECIDE — Continue or Proceed
  6. Stage 5: OUTLINE — Structure Before Content
  7. Stage 6: SYNTHESIZE — Write the Research Note
  8. Stage 7: INTEGRATE — Create Vault Note
Ships with 1 file
  • metadata.json
Commands it runs
mkdir -p "$WORK_DIR"/{findings,gaps}
ls "$WORK_DIR/state.md" 2>/dev/null
ls {WORK_DIR}/findings/
date +%Y%m%d%H%M%S
More from claude-skill-registry
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About this skill
What does the deep-research skill do?

Deep, iterative, multi-source research that explores a topic from multiple perspectives, detects contradictions, and produces a comprehensive vault note with fact-level citations and a confidence map. Use this skill whenever the user says /deep-research, "deep research X", "research X thoroughly", "investigate X deeply", "I need to really understand X", or wants research that goes beyond a quick web search. Also use when the user wants to understand a complex, contested, or multi-faceted topic, compare competing approaches with evidence, or build a comprehensive mental model they can trust for

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill deep-research-tuan3w-obsidian-vault-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going